Paper
27 January 2021 Upper limb rehabilitation training system based on virtual reality
Xu-hui Zhang, Xin-yuan Lv, Miao-yun Wang, Qian-nan Wei, Heng Wang, Yu-meng Zhang, Yu-yang Du
Author Affiliations +
Proceedings Volume 11720, Twelfth International Conference on Graphics and Image Processing (ICGIP 2020); 117202K (2021) https://doi.org/10.1117/12.2589431
Event: Twelfth International Conference on Graphics and Image Processing, 2020, Xi'an, China
Abstract
Stroke is one of the diseases that threaten human life and often leads survivor’s motor dysfunction. Rehabilitation training is an important means of treating sequelae. Traditional methods lack patient active participation, and doctors cannot monitor patient movement in real time. Therefore, an interesting and efficient upper limb rehabilitation training system was designed using virtual reality technology. The system design mainly involves: System management interface, rehabilitation training game, rehabilitation effect evaluation. The patient realizes human-computer interaction through VR glasses and data gloves. The sensors collect the posture change information of the main joints during patient training and upload it to the patient information database, so that the doctor can grasp the patient training situation in real time and update the training plan. The use of virtual reality technology to guide patients in active rehabilitation training has a positive reference for achieving highly efficient rehabilitation training.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xu-hui Zhang, Xin-yuan Lv, Miao-yun Wang, Qian-nan Wei, Heng Wang, Yu-meng Zhang, and Yu-yang Du "Upper limb rehabilitation training system based on virtual reality", Proc. SPIE 11720, Twelfth International Conference on Graphics and Image Processing (ICGIP 2020), 117202K (27 January 2021); https://doi.org/10.1117/12.2589431
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